Tasks:
- * Align semantic features with SLAM geometry
- * Deploy and optimize algorithms on edge platforms
- * Design layered geometric, object, and topological maps
- * Develop long-term dynamic map updates
- * Develop Voronoi-based spatial topology representations
- * Extract 3D object labels and scene attributes
- * Identify topological nodes such as doors and narrow passages
- * Implement incremental map maintenance and probabilistic consistency
- * Support semantic map queries and topological localization
Perks/Benefits:
Skills/Tech stack required:
[3D Object Detection] [A*] [C++] [Ceres] [Computational Geometry] [Delaunay triangulation] [Dijkstra] [Edge Deployment] [G2o] [Generalized Voronoi diagrams] [Graph theory] [HPA] [IMU] [Lidar] [Linux] [Model Quantization] [Object Detection] [OpenCV] [Open Vocabulary] [Open Vocabulary Detection] [PCL] [Python] [RGB-D] [ROS] [ROS 2] [Semantic Segmentation] [SLAM] [State Estimation] [Topology skeleton extraction] [TSDF] [VLMs] [Voronoi diagrams]
Educational requirements:
[Bachelor's Degree] [Master's Degree] [PhD]
Role(s):
[Algorithm Engineer] [Engineer] [Mapping Algorithm Engineer] [Semantic Mapping Algorithm Engineer]